How Can Natural Language Processing and Generative AI Address Grand Challenges of Quantitative User Personas?

Joni Salminen, Soon-gyo Jung, Hind Almerekhi, Erik Cambria, Bernard Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human-computer interaction (HCI) and natural language processing (NLP) can engage in mutually beneficial collaboration. This article summarizes previous literature to identify grand challenges for the application of NLP in quantitative user personas (QUPs), which exemplifies such collaboration. Grand challenges provide a collaborative starting point for researchers working at the intersection of NLP and QUPs, towards improved user experiences. NLP research could also benefit from focusing on generating user personas by introducing new solutions to specific NLP tasks, such as classification and generation. We also discuss the novel opportunities introduced by Generative AI to address the grand challenges, offering illustrative examples.
Original languageEnglish
Title of host publicationHci International 2023 Late Breaking Papers, Hcii 2023, Pt Vi
EditorsH Degen, S Ntoa, A Moallem
PublisherSpringer Nature
Pages211-231
Number of pages21
Volume14059
ISBN (Electronic)978-3-031-48057-7
ISBN (Print)978-3-031-48056-0
DOIs
Publication statusPublished - 2023
Event25th International Conference on Human-Computer Interaction (HCI International) - Copenhagen, Denmark
Duration: 23 Jul 202328 Jul 2023

Publication series

NameLecture Notes In Computer Science

Conference

Conference25th International Conference on Human-Computer Interaction (HCI International)
Country/TerritoryDenmark
CityCopenhagen
Period23/07/2328/07/23

Keywords

  • Generative AI
  • Natural language processing
  • Quantitative user personas
  • User personas

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